IFM AI's Uno: Diffusion-Augmented LLM Delivers Lossless 2.2x Speedup
IFM AI released Uno, a diffusion-augmented LLM that tackles the token-by-token inference bottleneck by decoupling model parameters into two groups trained with standard NTP objectives, achieving a claimed lossless 2.2x speedup on K2 without degrading output quality.
2026-09-18 ~ 2026-09-18 · 2 related posts
- Episode 1: Uno: Discrete Diffusion Delivers Lossless LLM Speedups(2026-09-08, 4 posts)
- Episode 2: IFM AI's Uno: Diffusion-Augmented LLM Delivers Lossless 2.2x Speedup(2026-09-18, 2 posts)
- Diffusion-augmented LLM Uno delivers lossless 2.2x speedup over autoregressive generation — HongyiWang10 · 2026-09-18
- IFM AI's Uno couples diffusion with LLMs for lossless 2.2x faster generation — srchvrs · 2026-09-18